Document last updated: 2024-07-10
Categorical
Continuous
Continuous
Continuous: (min, max values)
Continuous: (min, max values)
avg_SLA: specific leaf area (98.4, 191)
avg_SRL: specific root length (659.4, 3306.4)
herbivory_perc: (0, 17%)
All continuous data predictors (climate, edaphic, and plant trait) were mean standardized, i.e., scaled to mean = 0 and SD = 1.
I assessed multicollinearity and removed correlated predictors, retaining ammonium over nitrate and soil moisture over similar measurements. For climate, only retaining 3yr values.
Viewing tables of variable-variable correlations by category. Tables have been filtered to pearson correlation values > 0.9 or <-0.9.
| Variable Category | Var1 | Var2 | Correlation | Var1 Cat | Var2 Cat |
|---|---|---|---|---|---|
| Sampling | Longitude | Elevation_m | -0.9076341 | Sampling | Sampling |
| Variable Category | Var1 | Var2 | Correlation | Var1 Cat | Var2 Cat |
|---|---|---|---|---|---|
| Climate | GDD3yr_m.std | GDD2015_m.std | 0.9962364 | Climate | Climate |
| Climate | ppt3yr_m.std | ppt2015_m.std | 0.9513075 | Climate | Climate |
| Climate | ppt30yr_m.std | ppt3yr_m.std | 0.9415934 | Climate | Climate |
| Climate | ppt30yr_m.std | ppt2015_m.std | 0.9071337 | Climate | Climate |
Retaining GDD3yr over GDD2015 (degree growing days) & similarly, ppt3yr (mean annual precipitation)
| Variable Category | Var1 | Var2 | Correlation | Var1 Cat | Var2 Cat |
|---|---|---|---|---|---|
| Edaphic | ammonium_m.std | nitrate_m.std | 1.0000000 | Edaphic | Edaphic |
| Edaphic | phos_m.std | ammonium_m.std | 0.9868129 | Edaphic | Edaphic |
| Edaphic | phos_m.std | nitrate_m.std | 0.9868129 | Edaphic | Edaphic |
Retaining soil_moisture over GWC and percent soil moisture (complement). Retaining ammonium over nitrate because Rudgers2021 did. I am considering removing phos.
n/a
| Variable Category | Var1 | Var2 | Correlation | Var1 Cat | Var2 Cat |
|---|---|---|---|---|---|
| Mixed | Longitude | ppt30yr_m.std | 0.9525351 | Sampling | Climate |
| Mixed | Longitude | ppt3yr_m.std | 0.9050114 | Sampling | Climate |
Precipitation is highly correlated to longitude. Interesting…
For these variable summaries, I am showing non-standardized/raw data values.
Summary Statistics:
Min. 1st Qu. Median Mean 3rd Qu. Max. 29.23 31.96 34.98 35.15 39.07 41.12
Summary Statistics:
Min. 1st Qu. Median Mean 3rd Qu. Max. -108.29 -104.53 -98.91 -100.25 -97.52 -94.13
Summary Statistics:
Min. 1st Qu. Median Mean 3rd Qu. Max. -19.8 335.0 635.0 917.3 1551.0 2747.0
Summary Statistics:
Min. 1st Qu. Median Mean 3rd Qu. Max. 5.050 6.670 7.250 7.124 7.770 8.360
Summary Statistics:
Min. 1st Qu. Median Mean 3rd Qu. Max. 0.4508 2.0087 4.3897 4.4057 6.8384 11.1393
Summary Statistics:
Min. 1st Qu. Median Mean 3rd Qu. Max. 0.6474 0.8291 0.8780 0.8705 0.9333 0.9889
Summary Statistics:
Min. 1st Qu. Median Mean 3rd Qu. Max. 0.1705 0.1841 0.1937 0.1975 0.2028 0.2690
Summary Statistics:
Min. 1st Qu. Median Mean 3rd Qu. Max. 0.8722 0.9233 0.9976 1.0096 1.0470 1.3796
Summary Statistics:
Min. 1st Qu. Median Mean 3rd Qu. Max. 188.4 415.2 606.2 616.5 858.3 1064.2
Summary Statistics:
Min. 1st Qu. Median Mean 3rd Qu. Max. 2048 3930 4427 4475 5010 6005
Summary Statistics:
Min. 1st Qu. Median Mean 3rd Qu. Max. 98.42 124.81 140.01 141.69 155.90 191.04
Summary Statistics:
Min. 1st Qu. Median Mean 3rd Qu. Max. 659.4 1523.6 1723.4 1857.6 2150.4 3306.4
Summary Statistics:
Min. 1st Qu. Median Mean 3rd Qu. Max. 0.000 1.042 2.625 3.450 4.479 17.000
[tbd]